基于多目标粒子群算法的微电网优化运行研究  

Optimal operational research of microgrid based on multi-objective particle swarm optimization

作　　者：朱永[1] 李春华[1] 

机构地区：[1]江苏科技大学电子信息学院，镇江 212003

出　　处：《江苏科技大学学报（自然科学版）》2017年第4期501-507,共7页Journal of Jiangsu University of Science and Technology:Natural Science Edition

基　　金：国家自然科学基金资助项目(51307074);江苏省自然科学基金资助项目(BK20130466)

摘　　要：为实现微电网系统经济和环境双重目标的优化运行,在满足系统约束条件下,对含有光伏、风机、柴油发电机以及铅酸蓄电池组成的孤立微电网进行研究,提出了一种经济与环保协调控制下的微电网优化调度模型,并采用非线性递减指数函数的惯性权重取值方法和添加二次函数类速度扰动项的改进多目标优化算法来求解调度模型,有效地改善了算法的收敛性能和Pareto前沿的分布特性,仿真结果表明该模型对微电网优化调度具有一定的指导作用.In order to achieve the goal of optimal operation of the island microgrid system,under the system＇s constraint conditions,the island microgrid system which is composed of photovoltaic cells,wind turbine,diesel generator and batteries is studied. An optimal dispatch model of the microgrid is proposed well coordinated with the economy and environmental protection. The improved multi-objective particle swarm optimization（ MOPSO）based on Pareto front and the way of choosing weight of nonlinear decrease exponential function and the way of additional quadratic function is adopted to update the swarms＇ speed and to improve its convergence performance. The model and method are applied in the day-ahead optimal dispatch of a typical microgrid,which verifies their significant guidance of microgrid＇optimization.

关 键 词：孤立微电网 经济环保性能 多目标 优化运行 

分 类 号：TM732[电气工程—电力系统及自动化]